{"id":"W4232535599","doi":"10.1002/9781118359228.ch9","title":"Fluid Bed Dehydration of Magnesium Chloride","year":2012,"lang":"en","type":"other","venue":"","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Brine; Fluidization; Dehydration; Fluidized bed; Magnesium; Materials science; Petroleum engineering; Waste management; Environmental science; Chemical engineering; Chemistry; Metallurgy; Geology; Engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008922249,0.0002733352,0.0002116741,0.0002787907,0.0002647962,0.0002678357,0.0003343815,0.0001945132,0.004356699],"category_scores_gemma":[0.00009943062,0.0001361388,0.0002756975,0.0001662235,0.00007918107,0.0003128099,0.0002344886,0.0003456013,0.001576548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788034,"about_ca_system_score_gemma":0.0002346331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373515,"about_ca_topic_score_gemma":0.003744211,"domain_scores_codex":[0.9999031,0.000003810015,0.000004436375,0.00001721034,0.00005102516,0.00002050698],"domain_scores_gemma":[0.9999793,0.000002343008,0.000004228421,0.000002679063,0.000007762874,0.000003817584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000729654,0.00002035043,0.0001133385,0.0001723763,0.000007033123,0.0001169457,0.00005470351,0.000447151,0.9820377,0.0007423834,0.001057753,0.01515736],"study_design_scores_gemma":[0.000008172949,0.0001052249,0.0009549361,0.00002196057,0.000008921396,0.0001323968,0.00003035493,0.001287368,0.9628626,0.0001159292,0.03446379,0.000008314403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731856,0.01222898,0.03072844,0.0006627996,0.001004753,0.0002206267,0.0007676875,0.001275186,0.07992597],"genre_scores_gemma":[0.8933507,0.005874883,0.01645784,0.0002607768,0.00007736209,0.0000470026,0.0009111445,0.0002158815,0.08280443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004356699,"threshold_uncertainty_score":0.01457465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007364679759837049,"score_gpt":0.2002885844222566,"score_spread":0.1929239046624195,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}